Industries that AI Can Revolutionize

Artificial Intelligence is no longer the stuff of science fiction or a tech buzzword. For some businesses and individuals today, it is already a reality and a seemingly permanent fixture in their work or education. This has been driven greatly by the launch of OpenAI’s artificial intelligence-powered chatbot ChatGPT in late November last year. By virtue of this topic being a regular on the Coinspeaker technology news pages, we will focus on artificial intelligence for this roundup.

Building on the popularity of Microsoft-backed startup’s advancements in AI, tech giants such as Microsoft, Google, Apple and Amazon have spent billions of dollars to develop AI models and products for their own use or for sale to other businesses. Some learning institutions are looking for ways to use AI in their lessons while others are including in it their curricula.

Former Google Brain leader and Baidu chief scientist Andrew Ng commented: “Lots of industries go through this pattern of winter, winter, and then an eternal spring [...] We may be in the eternal spring of AI.”

Let us explore some of the many industries and sectors that artificial intelligence is likely to impact significantly.

Customer Care and Service

A lot of businesses with an online presence have employed the use of chatbots and virtual assistants to handle customer queries and other tasks. With the increased use of generative AI and improved, increasingly human-sounding responses from chatbots, it could soon become harder to tell human and AI customer service agents apart.

AI in customer service also has the potential to provide both the client and service provider with data-driven tools that draw meaningful insights for use in making business decisions.

Education, Research and Development

The technology also has the potential to revolutionise learning. Machine learning, natural language processing and facial recognition can be harnessed to digitize learning materials, detect plagiarism, and gauge the emotions of students to help determine if they are following the lessons, struggling, or bored.

AI can also be used by researchers to sift through large caches of data for patterns or irregularities. The process of combing through has already aided in our understanding of the cosmos and scientific breakthroughs like the development of the Covid-19 vaccine. The application of AI to this process has the potential to drive advancement in fields such as science and medicine. In medicine, AI’s big data capabilities have also been helpful in the quick and accurate diagnosis of some diseases, streamlining drug discovery and monitoring patients using virtual nursing assistants.

Marketing and Manufacturing

Marketing tasks such as copywriting are already being affected by generative AI. AI tools today are able to write press releases, blog posts, sales copies, social media posts, and biographies. While the process is still imperfect and requires fact-checking by humans, it is rapidly improving.

AI has also been applied to industrial robots used in manufacturing. The robots work with humans on tasks such as product assembly, packing and stacking. AI-based predictive analysis sensors also ensure efficiency by making sure that the equipment runs smoothly.

IT and Engineering

Software developers are already making use of generative AI to write code segments. In engineering, AI-powered design tools are being used in areas like aerospace and aeronautical, civil, electronic and other forms of complex engineering.

Transportation

AI has the potential to significantly change the transportation industry, especially when applied to self-driving cars and AI travel planners.

The Future of Work With AI

Experts have predicted that AI could take over scripted and repetitive tasks in the workplace. During a lecture at Northwestern University, AI expert Kai-Fu Lee stated:

“The simple question to ask is, ‘How routine is a job?’ And that is how likely [it is] a job will be replaced by AI, because AI can, within the routine task, learn to optimize itself. And the more quantitative, the more objective the job is—separating things into bins, washing dishes, picking fruits and answering customer service calls—those are very much scripted tasks that are repetitive and routine in nature. In the matter of five, 10 or 15 years, they will be displaced by AI.”

This article does not necessarily reflect the opinions of the editors or management of EconoTimes.